Uses of Class
de.lmu.ifi.dbs.elki.data.model.DendrogramModel

Packages that use DendrogramModel

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms

Uses of DendrogramModel in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction with type parameters of type DendrogramModel

Modifier and Type	Field and Description
protected java.util.Collection<Cluster<DendrogramModel>>	SimplifiedHierarchyExtraction.TempCluster.children (Finished) child clusters

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction that return types with arguments of type DendrogramModel

Modifier and Type	Method and Description
private Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.buildFlat(DBIDArrayIter it, int split, FiniteProgress progress) Build a flat clustering.
private Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.buildHierarchical(DBIDArrayIter it, int split, FiniteProgress progress) Build a hierarchical clustering.
Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.extractClusters() Extract all clusters from the pi-lambda-representation.
protected Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.Instance.makeCluster(DBIDRef lead, double depth, DBIDs members) Make the cluster for the given object
protected Cluster<DendrogramModel>	AbstractCutDendrogram.Instance.makeCluster(DBIDRef lead, double depth, DBIDs members) Make the cluster for the given object
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.Instance.run() Extract all clusters from the pi-lambda-representation.
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.Instance.run() Extract all clusters from the pi-lambda-representation.
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.run(Database database)
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.run(Database database)
Clustering<DendrogramModel>	AbstractCutDendrogram.run(Database database)
Clustering<DendrogramModel>	CutDendrogramByNumberOfClusters.run(PointerHierarchyRepresentationResult pointerresult)
Clustering<DendrogramModel>	CutDendrogramByHeight.run(PointerHierarchyRepresentationResult pointerresult)
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.run(PointerHierarchyRepresentationResult pointerresult) Process an existing result.
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.run(PointerHierarchyRepresentationResult pointerresult) Process an existing result.
abstract Clustering<DendrogramModel>	AbstractCutDendrogram.run(PointerHierarchyRepresentationResult pointerresult) Process a pointer hierarchy result.
protected Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.Instance.toCluster(SimplifiedHierarchyExtraction.TempCluster temp, Clustering<DendrogramModel> clustering, DBIDRef lead) Make the cluster for the given object

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction with type arguments of type DendrogramModel

Modifier and Type	Method and Description
void	SimplifiedHierarchyExtraction.TempCluster.addChild(Cluster<DendrogramModel> clu) Add a child cluster.
private void	HDBSCANHierarchyExtraction.Instance.collectChildren(HDBSCANHierarchyExtraction.TempCluster temp, Clustering<DendrogramModel> clustering, HDBSCANHierarchyExtraction.TempCluster cur, Cluster<DendrogramModel> clus, boolean flatten) Recursive flattening of clusters.
private void	HDBSCANHierarchyExtraction.Instance.collectChildren(HDBSCANHierarchyExtraction.TempCluster temp, Clustering<DendrogramModel> clustering, HDBSCANHierarchyExtraction.TempCluster cur, Cluster<DendrogramModel> clus, boolean flatten) Recursive flattening of clusters.
private void	HDBSCANHierarchyExtraction.Instance.finalizeCluster(HDBSCANHierarchyExtraction.TempCluster temp, Clustering<DendrogramModel> clustering, Cluster<DendrogramModel> parent, boolean flatten) Make the cluster for the given object
private void	HDBSCANHierarchyExtraction.Instance.finalizeCluster(HDBSCANHierarchyExtraction.TempCluster temp, Clustering<DendrogramModel> clustering, Cluster<DendrogramModel> parent, boolean flatten) Make the cluster for the given object
protected Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.Instance.toCluster(SimplifiedHierarchyExtraction.TempCluster temp, Clustering<DendrogramModel> clustering, DBIDRef lead) Make the cluster for the given object

Uses of DendrogramModel in de.lmu.ifi.dbs.elki.data.model

Subclasses of DendrogramModel in de.lmu.ifi.dbs.elki.data.model

Modifier and Type	Class and Description
class	PrototypeDendrogramModel Hierarchical cluster, with prototype.